BSkyPlotCorrelationMatrix: Correlation Analysis

In BlueSkyStatistics/BlueSky: BlueSky Collection of Functions for Data Access, Analysis, and Formatting.

Correlation Analysis

Description

This function uses the rcorr function in the Hmisc package to compute matrices of Pearson or Spearman correlations along with the pair wise p-values among the correlations. The p-values are corrected for multiple inference using Holm's method (see p.adjust). Observations are filtered for missing data, and only complete observations are used.

Usage

BSkyPlotCorrelationMatrix(
  data,
  vars = NULL,
  correlationType = "Pearson",
  missingValues = "complete.obs",
  visualizeCorrelation = TRUE,
  plotWeb = TRUE
)

Arguments

data	a numeric matrix or data frame, or an object of class "rcorr.adjust" to be printed.
correlationType	"pearson" or "spearman", depending upon the type of correlations desired; the default is "pearson".
missingValues	how to handle missing data: "complete.obs", the default, use only complete cases; "pairwise.complete.obs", use all cases with valid data for each pair.
visualizeCorrelation	prints PlotCorr()
plotWeb	prints PlotWeb()

Value

Returns an object of class "rcorr.adjust", which is normally just printed.

BlueSkyStatistics/BlueSky documentation built on April 14, 2025, 7:39 a.m.